The Multidirectional Enhancement of Medical CT Images Based on Wavelet Laid

This article uses the advanced wavelet theory to perform multi-criteria transformation on the medical CT image wavelet in order to obtain directive components. The improved wavelet threshold value law is combined with the wavelet homomorphism filter corresponding to the obtained directive components to remove noise and enhance image effect, finally resulting in the multi-scale (level) enhanced images. The better enhancement effect of the image is obtained by further synthesizing. The experiment indicated that using this algorithm the important characteristic of the image is retained very well while the noise of the image is removed, achieving the enhancement of medicine CT image.